Top Python Data science repositories on GitHub

Apache Superset is a Data Visualization and Data Exploration Platform

• superset
• apache
• apache-superset
• data-visualization
• data-viz
• analytics

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

• 30-days-of-python
• python
• flask
• github
• heroku
• matplotlib

scikit-learn: machine learning in Python

• machine-learning
• python
• statistics
• data-science
• data-analysis

Deep Learning for humans

• deep-learning
• tensorflow
• neural-networks
• machine-learning
• data-science
• python

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

• data-analysis
• pandas
• flexible
• alignment
• python
• data-science

Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.

• interview-preparation
• internships
• jobs
• university
• fall-2026
• github

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

• airflow
• apache
• apache-airflow
• python
• scheduler
• workflow

Streamlit — A faster way to build and share data apps.

• python
• machine-learning
• data-science
• deep-learning
• data-visualization
• streamlit

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

• ray
• distributed
• parallel
• machine-learning
• reinforcement-learning
• deep-learning

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

• machine-learning
• models
• ui
• ui-components
• interface
• python

💫 Industrial-strength Natural Language Processing (NLP) in Python

• natural-language-processing
• data-science
• machine-learning
• python
• cython
• nlp

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

• machine-learning
• deep-learning
• deep-reinforcement-learning
• machine-learning-from-scratch
• data-science
• data-mining

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

• python
• deep-learning
• artificial-intelligence
• ai
• pytorch
• data-science

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

• deep-learning
• machine-learning
• book
• notebook
• computer-vision
• natural-language-processing

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

• python
• machine-learning
• deep-learning
• data-science
• big-data
• aws

🕸️ Web apps in pure Python 🐍

• python
• framework
• open-source
• gui
• dashboard
• fullstack

Data Apps & Dashboards for Python. No JavaScript Required.

• dash
• plotly
• data-visualization
• data-science
• gui-framework
• flask

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

• python
• workflow
• data-engineering
• data-science
• workflow-engine
• prefect

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

• llm
• pandas
• ai
• data-analysis
• data-science
• gpt-4